Our solutions

Four solution lines on one data model: every decision, from demand to the P&L, starts from the same numbers.

Supply Chain Solutions

The right service level with the right inventory.

Supply chain analytics consulting for pharma, life sciences and consumer goods companies.

Demand Planning: Demand forecasting for consumer goods and pharma companies, with accuracy and bias measured by product, market and customer.
Supply planning: Supply plans that respect capacity and lead times, with plan adherence and supplier OTIF measured.
Inventory management: A control tower for coverage, stock-outs, excess and expiry, by item, batch and site, including shelf life analytics for pharma.
Order management: Order intake, allocation and backorders, with OTIF to customers by channel.
Integrated Business Planning: Integrated business planning for mid-size companies: one monthly cycle that links the volume plan to the financial plan.

An example of the plans we build: demand, supply and inventory in one view, with alerts already calculated.

Example: demand and supply plan, in units

In April coverage drops below 4 weeks: time to bring an order forward.

Always know why margin moves.

Supply chain numbers translated into the P&L.

FP&A: FP&A consulting for CPG and pharma companies: budget, forecast and year-end landing, with a faster close.
Gross margin and variances: Price volume mix analysis and a gross margin bridge in Power BI, against prior year and prior month.
Cost and price analysis: Cost and price changes by product, customer and market, explained over time.
Order-to-cash: From order to cash: invoicing, overdue receivables, disputes and DSO by customer and channel.

Better forecasts, faster decisions.

AI applied to planning and reporting, on data you can trust.

AI and ML demand forecasting: Machine learning forecasts that learn from history, promotions and seasonality, measured against your current forecast.
AI inventory optimization: Safety stock and reorder points set with AI, balancing service level against working capital.
Building dashboards with AI: We use AI to design and build Power BI dashboards faster, so you see a first version within days.
Semantic model optimization: Faster, cleaner Power BI semantic models, ready for any AI assistant and questions in plain language.
Preparing data for AI: Clean, documented and governed data in Snowflake or Microsoft Fabric: the base every AI project needs.
AI assistants on your data: Ask questions in plain language and get answers from your own numbers, with recurring reports automated.

One version of the truth, from every ERP.

The technical foundation that holds it all together.

Multi-ERP integration: Integrating multiple ERPs into Snowflake: SAP data to Snowflake and Power BI, with documented dbt models and one version of the numbers.
Dashboards and reporting: Power BI supply chain dashboards and Microsoft Fabric reports, built by consultants who have run planning themselves.

Tell us the decision you want to improve. We will propose a concrete first step.